Search Results - "Zaïane, Osmar R."
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Artificial intelligence enabled automated diagnosis and grading of ulcerative colitis endoscopy images
Published in Scientific reports (17-02-2022)“…Endoscopic evaluation to reliably grade disease activity, detect complications including cancer and verification of mucosal healing are paramount in the care…”
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2
Depression symptoms modelling from social media text: an LLM driven semi-supervised learning approach
Published in Language resources and evaluation (01-09-2024)“…A fundamental component of user-level social media language based clinical depression modelling is depression symptoms detection (DSD). Unfortunately, there…”
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Framework for extreme imbalance classification: SWIM—sampling with the majority class
Published in Knowledge and information systems (01-03-2020)“…The class imbalance problem is a pervasive issue in many real-world domains. Oversampling methods that inflate the rare class by generating synthetic data are…”
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A machine learning approach to predict ethnicity using personal name and census location in Canada
Published in PloS one (18-11-2020)“…Canada is an ethnically-diverse country, yet its lack of ethnicity information in many large databases impedes effective population research and interventions…”
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Complexity Analysis Approach for Prefabricated Construction Products Using Uncertain Data Clustering
Published in Journal of construction engineering and management (01-08-2018)“…AbstractThis paper proposes an uncertain data clustering approach to quantitatively analyze the complexity of prefabricated construction components through the…”
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On discovering co-location patterns in datasets: a case study of pollutants and child cancers
Published in GeoInformatica (01-10-2016)“…We intend to identify relationships between cancer cases and pollutant emissions by proposing a novel co-location mining algorithm. In this context, we…”
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Generating attributed networks with communities
Published in PloS one (20-04-2015)“…In many modern applications data is represented in the form of nodes and their relationships, forming an information network. When nodes are described with a…”
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Uncovering Flat and Hierarchical Topics by Community Discovery on Word Co-occurrence Network
Published in Data science and engineering (01-03-2024)“…Topic modeling aims to discover latent themes in collections of text documents. It has various applications across fields such as sociology, opinion analysis,…”
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Fast local community discovery relying on the strength of links
Published in Social network analysis and mining (04-09-2023)“…Community detection methods aim to find nodes connected to each other more than other nodes in a graph. As they explore the entire network, global methods…”
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Generalization of clustering agreements and distances for overlapping clusters and network communities
Published in Data mining and knowledge discovery (01-09-2015)“…A measure of distance between two clusterings has important applications, including clustering validation and ensemble clustering. Generally, such distance…”
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Mining contentious documents
Published in Knowledge and information systems (01-09-2016)“…This work proposes an unsupervised method intended to enhance the quality of opinion mining in contentious text. It presents a Joint Topic Viewpoint (JTV)…”
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The index lift in data mining has a close relationship with the association measure relative risk in epidemiological studies
Published in BMC medical informatics and decision making (17-06-2019)“…Data mining tools have been increasingly used in health research, with the promise of accelerating discoveries. Lift is a standard association metric in the…”
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Formalizing clinical practice guideline for clinical decision support systems
Published in Health informatics journal (01-06-2017)“…Clinical practice guidelines are valuable sources of clinical knowledge for healthcare professionals. However, the passive dissemination of clinical practice…”
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SSRM: structural social role mining for dynamic social networks
Published in Social network analysis and mining (01-12-2015)“…A social role is a special position an individual possesses within a network, which indicates his or her behaviors, expectations, and responsibilities…”
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PubMedReco: A Real-Time Recommender System for PubMed Citations
Published in Studies in health technology and informatics (2017)“…We present a recommender system, PubMedReco, for real-time suggestions of medical articles from PubMed, a database of over 23 million medical citations…”
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Class separation through variance: a new application of outlier detection
Published in Knowledge and information systems (01-12-2011)“…This paper introduces a new outlier detection approach and discusses and extends a new concept, class separation through variance. We show that even for…”
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A privacy-preserving clustering approach toward secure and effective data analysis for business collaboration
Published in Computers & security (01-02-2007)“…The sharing of data has been proven beneficial in data mining applications. However, privacy regulations and other privacy concerns may prevent data owners…”
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Resolution-based outlier factor: detecting the top-n most outlying data points in engineering data
Published in Knowledge and information systems (01-04-2009)“…One of the common endeavours in engineering applications is outlier detection, which aims to identify inconsistent records from large amounts of data. Although…”
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Exploring interpretable graph convolutional networks for autism spectrum disorder diagnosis
Published in International journal for computer assisted radiology and surgery (01-04-2023)“…Purpose Finding the biomarkers associated with autism spectrum disorder (ASD) is helpful for understanding the underlying roots of the disorder and can lead to…”
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Anomaly Detection in Resource Constrained Environments With Streaming Data
Published in IEEE transactions on emerging topics in computational intelligence (01-06-2022)“…Isolation Forest (or iForest ) is a well-known technique for anomaly detection. It is, however, a bulky approach that assumes the luxury of large storage space…”
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